A data analyst needs to query a table named 'orders' that resides in a schema called 'analytics'. The analyst knows the catalog name is 'prod'. Which of the following SQL statements will successfully query the table?

SELECT * FROM prod.orders.analytics

SELECT * FROM analytics.prod.orders

SELECT * FROM orders.analytics.prod

SELECT * FROM prod.analytics.orders

A data science team needs to store both structured feature tables and unstructured raw image files for a computer vision project. They want to ensure that both types of data are governed under the same access policies and are easy to discover. What is the best way to organize this in Unity Catalog?

Create a separate schema for tables and a separate schema for volumes.

Store the image files in a table using a binary data type.

Create a schema for the project and place both tables and volumes within it.

Create a separate catalog for tables and a separate catalog for volumes.

A data analyst is exploring the Unity Catalog and sees the following path: 'marketing.campaigns.email_campaigns'. What does this path represent?

A volume named 'campaigns' in the 'email_campaigns' schema of the 'marketing' catalog

A table named 'email_campaigns' in the 'campaigns' schema of the 'marketing' catalog

A catalog named 'email_campaigns' in the 'campaigns' schema of the 'marketing' catalog

A schema named 'email_campaigns' in the 'campaigns' catalog of the 'marketing' schema

An organization has separate teams for marketing and finance, each with their own data assets. They want to apply different access control policies to each team's data while keeping all data in a single Databricks workspace. What is the most appropriate way to use the Unity Catalog namespace to achieve this?

Create a separate table for each team and grant permissions on each table.

Create a separate schema for each team and grant permissions at the schema level.

Create a separate volume for each team and grant permissions on each volume.

Create a separate catalog for each team and grant permissions at the catalog level.

DatabricksCertified Data Analyst Associate

Domain 9Objective 2

Tables or Volumes) Works in the Unity Catalog. DATA-ANALYST-ASSOCIATE Practice Questions (Page 3)

Part of the Section 9: Securing Data domain, which makes up ~8% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~3–5 in this domain), expect 1–2 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

6concepts

Questions 11–15

11foundation · easy
Which of the following is contained within a schema in Unity Catalog?
Select an answer first
12application · easy
A data analyst needs to query a table named 'orders' that resides in a schema called 'analytics'. The analyst knows the catalog name is 'prod'. Which of the following SQL statements will successfully query the table?
Select an answer first
13expert · medium
A data science team needs to store both structured feature tables and unstructured raw image files for a computer vision project. They want to ensure that both types of data are governed under the same access policies and are easy to discover. What is the best way to organize this in Unity Catalog?
Select an answer first
14application · easy
A data analyst is exploring the Unity Catalog and sees the following path: 'marketing.campaigns.email_campaigns'. What does this path represent?
Select an answer first
15application · medium
An organization has separate teams for marketing and finance, each with their own data assets. They want to apply different access control policies to each team's data while keeping all data in a single Databricks workspace. What is the most appropriate way to use the Unity Catalog namespace to achieve this?
Select an answer first

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Understand How the 3-Level namespace(Catalog / Schema / Tables or Volumes) Works in the Unity Catalog. DATA-ANALYST-ASSOCIATE Practice Questions (Page 3)

Questions 11–15

Which of the following is contained within a schema in Unity Catalog?

A data analyst needs to query a table named 'orders' that resides in a schema called 'analytics'. The analyst knows the catalog name is 'prod'. Which of the following SQL statements will successfully query the table?

A data science team needs to store both structured feature tables and unstructured raw image files for a computer vision project. They want to ensure that both types of data are governed under the same access policies and are easy to discover. What is the best way to organize this in Unity Catalog?

A data analyst is exploring the Unity Catalog and sees the following path: 'marketing.campaigns.email_campaigns'. What does this path represent?

Keep studying — Section 9: Securing Data